Abstract
Routing flexibility (RF) and maintenance aspects in manufacturing system leads to effective and efficient production system. The present study considered flexible job shop scheduling undergoing reliability-based preventive maintenance with sequence-dependent setup time (SdSt) in stochastic environment. A simulation-optimization strategy is used to solve this complex problem. Reliability-centered preventive maintenance (RCPM) and reliability-centered periodic preventive (RCPPM) maintenance are two reliability-based preventive maintenance approaches integrated with this study in which five reliability levels and two maintenance time levels are considered. The study also comprises six levels of RF to assess its effect. Five shop performance measures, i.e., mean flow time, maximum flow time, mean tardiness, maximum tardiness, and number of tardy jobs, are utilized to evaluate shop performance. The analysis results indicate that in both preventive maintenance approaches, i.e., RCPM and RCPPM, incorporating RF enhances shop performance up RF level three, beyond that, shop performance deteriorates. Single and multi-objective optimization results demonstrate that lower level of reliability and maintenance time, and middle-level RF provide the optimum solution. Addressing job shop scheduling problem with preventive maintenance in a stochastic and dynamic environment with RF and SdSt using simulation-optimization approach shows the work novelty.
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Gupta, S., Jain, A., Chan, F.T.S. et al. A study on simulation-based optimization of a stochastic flexible job shop scheduling undergoing preventive maintenance with sequence-dependent setup time. Int J Interact Des Manuf (2023). https://doi.org/10.1007/s12008-023-01651-8
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DOI: https://doi.org/10.1007/s12008-023-01651-8